Factors affecting Smallholder Farmers' Adoption of big data analytics in the South African food supply chain
| dc.contributor.author | Sigwadi, Loshani | |
| dc.date.accessioned | 2025-09-09T12:51:12Z | |
| dc.date.available | 2025-09-09T12:51:12Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | The adoption of big data analytics in the food supply chain holds significant potential for enhancing efficiency, improving decision-making, and addressing environmental concerns. This is particularly relevant for smallholder farmers in South Africa, who play a crucial role in advancing the objectives of Sustainable Development Goal 2, which focuses on eradicating hunger and promoting sustainable agriculture. The study explores factors affecting smallholder farmers' adoption of big data analytics in the South African food supply chain. . The study employs a survey to examine the factors affecting the adoption of big data analytics in the food supply chain. Key predictors of technology adoption identified include farming occupational type, awareness of big data analytics, and perceptions related to these factors. The study results indicate that farmers with more experience and those engaged in full-time farming are more likely to adopt big data analytics. | |
| dc.identifier.uri | https://hdl.handle.net/10566/20861 | |
| dc.language.iso | en | |
| dc.publisher | University of the Western Cape | |
| dc.subject | Food Supply Chain | |
| dc.subject | e-logistics | |
| dc.subject | Big Data Analytics | |
| dc.subject | Smallholder Farmer | |
| dc.subject | Small-Scale Farmer | |
| dc.title | Factors affecting Smallholder Farmers' Adoption of big data analytics in the South African food supply chain | |
| dc.type | Thesis |